Event Description

About Business Analytics Certification Training

What is Business Analytics /Data Analytics?

Business Analytics or Data Analytics is an extremely high-in-demand profession which requires a professional to possess sound knowledge of analyzing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue).

Also Google Trends shows the upward trajectory with an exponential increase in volume of searches like never seen before. This is proof enough to back the statements made by Harvard Business Review and the business research giants, that Business Analytics will be the most sort after professional world has ever witnessed.

What is a Data Scientist? Or Rather Who is a Data Scientist?

Data for a Data Scientist is what Oxygen is to Human Beings. This is also a profession where statistical adroit works on data – incepting from Data Collection to Data Cleansing to Data Mining to Statistical Analysis and right through Forecasting, Predictive modeling and finally Data Optimization. A Data Scientist does not provide a solution; they provide most optimized solution out of the many available.

Gartner predicted in 2012 that Data Scientist & Business Analytics jobs will increase to the tunes of Millions by the end of 2015. This is very evident with the rise in job opportunities in various job portals. As a Data Scientist or an aspirant you should not believe us. Go! research for your own and confirm the facts and figures.

Who Should do The Course

Professionals who can consider Business Analytics / Data Analytics Certification Training as a next logical move to enhance in their careers includes:

Professionals working on Business intelligence & reporting tools

Professionals working on Data warehouse technologies

Statisticians, Economists, Mathematicians

Software programmers (they have an edge in writing code to accomplish a

prediction/classification/forecasting model)

Business analysts (they have an edge in terms of industry/sector/domain experience)

Six Sigma consultants who already have exposure to statistics

Freshers (market demand is thriving organisations to hire the freshers trained on analytics)

How to become a Data Scientist?

Accrue knowledge on dealing with data by getting trained and/or certified by any of the well-known institutes which have rich experience working closing with the ever evolving industry.

Knowing data analytics tools or data mining software alone will not help you analyze data.

So WHAT else is required?

One should possess Domain/Sector/Industry knowledge and learn relevant concepts to strike the right nail. A few such examples which are not limited to those mentioned are:

Many people across the globe are wondering on how to predict diseases very early so that changing lifestyle habits will cure the disease instead of medication. For this people started wearing health bands, a few call them sports band which is used to track heart beat rate, calories burnt, sleeping patterns, number of steps taken (walked) and many more. Jawbone is the most famous wrist band and its users have helped generate about 130 million nights of sleep and experts call it the biggest sleep study on the planet. Also recorded are about 1.6 trillion steps and 180 million items of food.

We can tag the data to our personal doctor who will monitor and inform us on what diseases we are likely to be infected with and what precautions should be taken to avoid it. Sounds WOW!

Retail – Location Based Analytics

Thousands of footfalls are witnessed in any known shopping mall across the globe. Can the store owners within the mall convert the footfalls into revenue? Answer is ‘YES’! The moment a person connects to free wi-fi available in the mall, a unique MAC address is assigned to the person.

From there on the details such as time spent in a store, speed of movement (moving across the wifi zones/range), past buying behaviour, number of times a person visited a store versus number of times purchase happened and various other parameters are gauged, to send a personalised coupon which will lure the potential customer to become a source of revenue.

Number of coupons sent versus number of purchases & Number of coupons sent versus amount purchased are the key Business metrics captured & evaluated to enhance the prediction model. Amazing, isn’t it!